GA_PSO_Optimization

说明：  利用空间平滑方法对信号的DOA进行谱峰估计(The use of spatial smoothing method for signal DOA estimation peaks)

说明：  matlab使用guide界面对滤波器设计，可实参数填写来获得低通，带通，高通等滤波器，这里有源代码，及guide界面，适合初学者学习参考。(Guide to filter matlab use interface design, can fill in to get real parameters low pass, band-pass, qualcomm, filter, here are the source code, and guide interface, is suitable for beginners learn reference.)

ANSYS 高层钢结构房屋地震响应分析实例，包括建模和地震荷载施加及分析(ANSYS high-rise steel buildings seismic response analysis of examples, modeling and analysis including seismic loads applied and)

说明：  关于脉冲压缩的问题。脉冲压缩的质量直接影响雷达的探测性能。(Pulse compression on the issue. Direct impact on the quality of pulse compression radar detection performance.)

R2008数字图像处理与分析实例教程源程序，和冈萨雷斯的MATLAB教程第二版配套(R2008 digital image processing and analysis of source code examples tutorials, and Alberto Gonzales supporting the second edition of MATLAB Guide)

Wiley - Antenna and EM Modeling with MATLAB CHAPTER3

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

介绍了系统辨识与自适应中的matlab程序，是学习系统辨识与自适应的好例子(Introduced a system identification and adaptive procedures in matlab)

认知无线电能量检测法的仿真及其源代码和简要说明(Simulation of Energy Detection of cognitive radio )

改进cholesky分解，在cholesky分解基础之上进行改进，不需要分解的矩阵正定条件(Improve the cholesky decomposition, cholesky decomposition in the basis for improvement, positive definite matrix conditions without decomposition)